{"id":"W4413292769","doi":"10.1016/j.ijms.2025.117511","title":"Demonstration of a nested electrostatic linear ion trap for flexibility in selecting analyzer figures-of-merit","year":2025,"lang":"en","type":"article","venue":"International Journal of Mass Spectrometry","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Institute of General Medical Sciences; National Institutes of Health; SCIEX","keywords":"Chemistry; Figure of merit; Quadrupole ion trap; Spectrum analyzer; Flexibility (engineering); Ion trap; Ion; Trap (plumbing); Analytical Chemistry (journal); Optoelectronics; Chromatography; Optics; Organic chemistry; Statistics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001331501,0.0006341334,0.0004658645,0.000281102,0.0005243199,0.0009630026,0.002912458,0.001319823,0.002916951],"category_scores_gemma":[0.001327254,0.0005999423,0.0003953742,0.0002073065,0.0005495083,0.001142018,0.001676443,0.001359687,0.001904983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003425672,"about_ca_system_score_gemma":0.0006329076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000437354,"about_ca_topic_score_gemma":0.0008497268,"domain_scores_codex":[0.9990172,0.00009206729,0.00004663839,0.0002484035,0.0005218669,0.00007368046],"domain_scores_gemma":[0.9992378,0.0002078118,0.0001186838,0.0001179221,0.0001972007,0.0001205805],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001154577,0.00004157757,0.0002812178,0.00004058469,0.00001210128,0.0001682835,0.00004602814,0.0002457517,0.9907741,0.001192474,0.000682505,0.006399889],"study_design_scores_gemma":[0.00005637087,0.0003223348,0.000528531,0.00001058416,0.00001481297,0.0009669975,0.00002574507,0.01896341,0.9687297,0.0005744398,0.009768368,0.00003874343],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2978757,0.00122169,0.6780289,0.002335296,0.0006731544,0.0005310428,0.00117976,0.008335043,0.009819507],"genre_scores_gemma":[0.4960568,0.0003185836,0.4959494,0.000621833,0.00009273297,0.0003075188,0.0005773832,0.0003360237,0.005739711],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002916951,"threshold_uncertainty_score":0.009758234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01675476439093208,"score_gpt":0.3335761483423805,"score_spread":0.3168213839514484,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}